from urllib import parse
import re

intab = "\ue5e0\ue3f9\ue1c0\ueaa9\ue3f1\ued6f\ueaf7\uf7ad\uf606\ue964"
outtab = "0123456789"
trantab1 = str.maketrans(intab,outtab)
test = "\ue1c0\ue5e0\ue1c0\ue5e0-\ue5e0\ueaa9-\ue3f9\ue3f9 \ue3f9\uf606:\ue1c0\ueaf7:\ued6f\uf7ad"
print(test.translate(trantab1))


# str = "\uef3f\ue31b\ue31b-\uf3c2\ue31b\ue31b/天"
#
# regex = r"\\"
# str1 = re.sub(regex, "", str)
# print(str)
#

# str = 'https://www.shixiseng.com/intern/inn_dquggn7tt3hs/com/com_2zzwvemod1c9'
# str1 = str.split('/')
# for i in range(len(str1)):
#     print(str1[i])


# import base64
#
# s='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'
# with open('D:/b.ttf', 'wb') as f:
# 	f.write(base64.b64decode(s))

# s = '\r\n             网站编辑'
# print(s.split('n')[0].strip())